25 of 25 Remote/Hybrid Monte Carlo Method Jobs in London

Responsibilities Analytics capability & methodology Design, build and own the portfolio analytics toolkit, valuation models (NPV/rNPV), scenario and sensitivity analysis, probabilistic and Monte Carlo simulation, and portfolio optimisation and prioritisation approaches. Establish reusable, well-documented models, templates and standards so that analyses are transparent, reproducible … portfolio or investment decision-making in pharmaceutical, biotech or a related industry. Strong data science fundamentals with particular exposure to Monte Carlo modelling Experience with web app development either from a data engineering or UI perspective Experience with Generative AI tools and frameworks Experience with standard ...

Python skills coupled with experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem ...

Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data ...

Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data ...

/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness. Scope ...

/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness. Scope ...

/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness. Scope ...

/ML user experience Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness. Scope ...

Staff Data Engineer or in an equivalent technical leadership role in data quality, observability, or governance. Deep knowledge of data observability frameworks (Monte Carlo, Soda, or equivalent) and data validation tools (Great Expectations, DBT tests, etc.). Deep understanding of data-as-a-product principles ...

days in City of London. Responsibilities include building scalable data pipelines (BigQuery, Dataflow/Apache Beam, Airflow), ensuring data quality and observability (Looker, Monte Carlo), and collaborating with product engineering and data science teams to plan data tracking and ingestion tasks. #J-18808-Ljbffr ...

varying formats and resolutions. Model Serving and Deployment Build serving infrastructure for pre-trained LPMs, supporting both zero-shot inference and uncertainty quantification (Monte Carlo Dropout). Design and implement model packaging pipelines for customer deployment. Models must run reliably in customer environments with fine-tuning ...

curves, volatility surfaces, and interest rate volatility cubes (live/intraday data experience preferred) Experience in developing risk management tools such as VaR, Monte Carlo, scenario analysis and P&L is preferred Why TS Imagine/Benefits Please note : This role requires applicants to be based ...

calculus, development including C++, Python, JavaScript React, mathematical finance/programming and statistics and probabilityDevelop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solversCollaborate closely with Traders, Structurers, and technology professionalsWork in close partnership with control functions such ...

C++ and Python and support trading desks in a hybrid setup. The role requires MSc/PhD in a quantitative field, strong Monte Carlo knowledge, and clear communication. Collaboration with IT, Risk and Trading stakeholders is expected, with a competitive base salary and benefits. #J ...

C++ and Python, collaborating with MQA teams and control functions in a fast-moving financial environment. The role emphasizes strong quantitative skills, Monte Carlo methods, and clear communication. A Master’s or PhD in a quantitative field is preferred, with hybrid work up to two days ...

Role Working individually and with developers to create, develop and implement complex pricing and risk models. Use stochastic calculus, partial differential equations, Monte Carlo simulations, statistics, and numerical algorithms for quantitative analysis. Develop production-ready code using object-orientated programming. Skills and Experience Experience in financial ...

libraries that support real‐time pricing and risk management for FX Options products. Design and implement quantitative pricing models using numerical techniques including Monte Carlo methods and partial differential equation solvers. Develop production software using C++ and Python, applying object‐oriented design principles and performance optimisation ...

comparable quantitative modelling role in the financial sector, especially in XVA, is valuable. Knowledge of financial products and related quantitative methods, especially Monte Carlo simulation. Clear and concise written and verbal communication skills. An MSc or PhD degree in a quantitative subject. Skill in programming, preferably ...

advanced calculus, C++, object‐oriented design, Python, mathematical finance, statistics, probability and Machine Learning Develop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solvers Build a culture of responsible finance, good governance and supervision, expense discipline and ethics Appropriately ...

Date Saturday 26 September 2026 Salary Range £122,009 - £143,540 Title: Senior Manager - Internal Model Method (IMM) Location: London HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office … Technology and Front Office teams to deliver strategic modelling solutions. Mentor and support junior modelling colleagues. Essential skills & experience: Direct experience of Internal Model Method (IMM) development and/or regulatory approval activities within a banking environment, including knowledge of Basel Counterparty Credit Risk regulations and IMM requirements. Strong ...

hybrid equity/rates or equity/credit structures. Strong quantitative foundation, including familiarity with equity derivatives pricing models (local/stochastic volatility, Monte Carlo, finite difference methods) and an ability to engage meaningfully with quants on model assumptions and sensitivities. Proficiency in Python (or equivalent ...

product forward and help millions of kids and teens build good financial habits. Key technologies are BigQuery, Dataform, Tableau, Veezoo, Amplitude and Monte Carlo. This role is based in our London office, with the flexibility to work remotely provided you are willing to travel to London when needed. ...

Company Description We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We ...

empower our Data team with insights that improve products for millions of families. You will work with BigQuery, Dataform, Tableau, Amplitude, and Monte Carlo to build robust data models and semantic layers. You’ll partner with Product and Engineering to design experiments, analyse results, and translate ...

with developers to create, develop and implement complex pricing and risk models for fixed income products. Use stochastic calculus, partial differential equations, Monte Carlo simulations, statistics, and numerical algorithms for quantitative analysis. Develop production-ready code using object-orientated programming. Skills and ExperienceMinimum of 5 years ...